System information (version)
- OpenCV => 4.1.0
- Operating System / Platform => Windows 10 Pro 64bit (10.0, build 17763)
- Compiler => Visual Studio 2017 or Python 2.7.15
Detailed description
When using GaussianBlur, when Width = 5 and SigmaX = 9, strange lines are visible at both ends of the image.
Steps to reproduce
Source image
Output image
below code is same thing happens C++.
# coding: utf-8
import numpy as np
import cv2
print('OpenCV version : ' + cv2.__version__)
img = cv2.imread('test.bmp')
gau1 = cv2.GaussianBlur(img, (5,5), 8)
gau2 = cv2.GaussianBlur(img, (5,5), 9)
gau3 = cv2.GaussianBlur(img, (5,5), 10)
cv2.imshow('origin', img)
cv2.imshow('gau1', gau1)
cv2.imshow('gau2', gau2)
cv2.imshow('gau3', gau3)
cv2.waitKey(0)
cv2.destroyAllWindows()
System information (version)
Detailed description
When using GaussianBlur, when Width = 5 and SigmaX = 9, strange lines are visible at both ends of the image.
Steps to reproduce
Source image
Output image
below code is same thing happens C++.